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Article . 2026
License: CC BY NC SA
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Article . 2026
License: CC BY NC SA
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY NC SA
Data sources: Datacite
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Transformación industrial en la provincia de Buenos Aires

Inteligencia Artificial, innovación y desafíos estratégicos en la Industria 4.0
Authors: Montenegro, Analía Marlene;

Transformación industrial en la provincia de Buenos Aires

Abstract

La transformación digital de los sistemas productivos ha cobrado un papel esencial en el desarrollo regional. La provincia de Buenos Aires, con su diversidad industrial y su potencial científico-tecnológico, enfrenta oportunidades estratégicas vinculadas con la implementación de tecnologías de la Industria 4.0. Entre ellas, la Inteligencia Artificial (IA) se presenta como un eje disruptivo capaz de modificar la lógica de producción, gestión y competitividad industrial. Este artículo se propone analizar críticamente dicha transformación. Mediante un enfoque metodológico cualitativo con apoyo en análisis cuantitativo a partir de indicadores y fuentes estadísticas oficiales, se abordan los desafíos estructurales y las oportunidades tecnológicas en sectores clave incorporando evidencia empírica, marcos teóricos contemporáneos y experiencias sectoriales concretas, incluyendo gráficos basados en datos actuales que permiten trazar un panorama del futuro de la industria bonaerense en clave tecnológica.

Keywords

innovación, inteligencia artificial, Buenos Aires, Industria 4.0, desarrollo industrial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green